A survey of text clustering techniques used for web mining

  • Dan Munteanu “Dunarea de Jos” University of Galati
  • Severin Bumbaru “Dunarea de Jos” University of Galati
Keywords: information retrieval, algorithms, machine learning, web mining, text clustering

Abstract

This paper contains an overview of basic formulations and approaches to clustering. Then it presents two important clustering paradigms: a bottom-up agglomerative technique, which collects similar documents into larger and larger groups, and a top-down partitioning technique, which divides a corpus into topic-oriented partitions.

Published
2005-10-28
How to Cite
1.
Munteanu D, Bumbaru S. A survey of text clustering techniques used for web mining. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 28Oct.2005 [cited 17May2024];28:54-9. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/711
Section
Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.